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Knowledge Graph Architect Jobs in Utah (NOW HIRING)

BambooHR

Sr. Data Engineer

Draper, UT · Hybrid

$107K - $128K/yr

Design and implement Knowledge Graph and Graph RAG architectures to model relationships between ... Participate in peer code reviews, pull requests, architecture reviews, and engineering standards.

Awardco

Principal AI Solutions Architect

Lindon, UT · On-site

Architect the retrieval-augmented generation (RAG), Data Graph, GraphRAG layer so LLM responses are ... Strong working knowledge of a cloud data warehouse (Snowflake preferred), including event and log ...

Awardco

Principal AI Solutions Architect

Lindon, UT · On-site

Architect the retrieval-augmented generation (RAG), Data Graph, GraphRAG layer so LLM responses are ... Strong working knowledge of a cloud data warehouse (Snowflake preferred), including event and log ...

CGI Inc.

DevOps & Platform Engineer

Salt Lake City, UT · On-site

$51 - $70/hr

  • Retirement

  • PTO

In this role, you'll collaborate with software engineers, solution architects, infrastructure ... Strong knowledge of **Cypher Query Language**, graph data modeling, query optimization, and graph ...

SoFi

Fraud Strategist - Login and Auth

Cottonwood Heights, UT · On-site

$115K - $149K/yr

... device-graph analysis. * Authentication Stack Depth: Working knowledge of FIDO2/passkeys, OAuth ... t Scalable Data Systems: Expert-level SQL/Python skills used to build automated, high-volume data ...

LVT

Staff Fullstack Software Engineer

American Fork, UT · On-site

Cross-Service Architecture & Debugging: Trace and resolve complex, systemic issues across service ... Own the health, evolution, and long-term hygiene of our GraphQL federation graph and data contracts ...

NetDocuments

Senior Software Engineer - Next-Gen

Lehi, UT · On-site +1

$115K - $151K/yr

  • Medical

  • Life

  • Retirement

  • PTO

You'll contribute to architectural decisions, build resilient cloud-native applications, and help ... Share knowledge and contribute to a culture of continuous improvement across the engineering team ...

LVT

Staff Fullstack Software Engineer

American Fork, UT · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Cross-Service Architecture & Debugging: Trace and resolve complex, systemic issues across service ... Own the health, evolution, and long-term hygiene of our GraphQL federation graph and data contracts ...

LVT

Staff Fullstack Software Engineer

American Fork, UT · On-site

Cross-Service Architecture & Debugging: Trace and resolve complex, systemic issues across service ... Own the health, evolution, and long-term hygiene of our GraphQL federation graph and data contracts ...

Varsity Tutors

College Computer Science Tutor

Logan, UT · Remote

$18 - $40/hr

Deep knowledge of data structures, algorithms, object-oriented programming, computer architecture ... Ability to explain time complexity analysis, sorting algorithms, graph traversal, memory management ...

Varsity Tutors

College Computer Science Tutor

Provo, UT · Remote

$18 - $40/hr

Deep knowledge of data structures, algorithms, object-oriented programming, computer architecture ... Ability to explain time complexity analysis, sorting algorithms, graph traversal, memory management ...

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Knowledge Graph Architect information

What is a knowledge graph architect?

Knowledge Graph Architects are professionals who design, develop, and maintain knowledge graphs—data structures that organize information into interconnected entities and relationships. They combine expertise in data modeling, semantic technologies, and ontologies to enable advanced data integration, search, and analytics within organizations. Their work helps businesses extract meaningful insights from complex datasets by structuring information in ways that are both machine-readable and semantically rich.

What are some typical challenges knowledge graph architects face when integrating data from diverse sources?

Knowledge Graph Architects often encounter challenges related to data heterogeneity, including varying data formats, inconsistent naming conventions, and differing semantics across multiple systems. Successfully integrating these disparate data sources requires designing robust ontologies, mapping relationships, and resolving conflicts to ensure data consistency and usability. Collaboration with domain experts, data engineers, and business stakeholders is essential to align technical solutions with business needs, making strong communication skills and adaptability crucial in this role.

What are the key skills and qualifications needed to thrive as a knowledge graph architect?

To thrive as a Knowledge Graph Architect, you need expertise in data modeling, semantic technologies, graph databases, and a strong background in computer science or information systems. Familiarity with tools like RDF, SPARQL, OWL, Neo4j, and experience with data integration platforms or cloud-based data services is highly valuable. Strong problem-solving, communication, and stakeholder management skills are essential to translate complex data needs into scalable knowledge graph solutions. These competencies enable effective design, implementation, and maintenance of knowledge graphs, which are critical for deriving actionable insights from complex data landscapes.
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Knowledge Graph Architect jobs near you

Data Scientist and AI Specialist

NexOne, Inc.

Clearfield, UT • On-site

Full-time

Posted 8 days ago

Job description

About the RoleWe are seeking an innovative and driven Data Scientist / AI Specialist to join our advanced technology team. In this role, you will architect, build, and deploy cutting-edge AI solutions powered by Large Language Models (LLMs), Vector Databases, and Knowledge Graphs. You will play a pivotal role in bridging the gap between raw unstructured data and intelligent, context-aware applications that drive business impact.Key ResponsibilitiesLLM Integration & Fine-Tuning: Design, implement, and optimize applications utilizing Large Language Models (LLMs) via APIs and open-source frameworks (e.g., LangChain, LlamaIndex).Vector Database Architecture: Architect, manage, and scale vector search infrastructure (e.g., Pinecone, Milvus, Qdrant, Weaviate, pgvector) for high-performance semantic search and retrieval-augmented generation (RAG) pipelines.Knowledge Graph Development: Design and construct Knowledge Graphs to structure complex domain data, integrating them with LLMs and vector search to improve reasoning and context retrieval (GraphRAG).Python Scripting & Pipeline Automation: Write robust, production-ready Python code to automate data ingestion, preprocessing, embedding generation, and model evaluation.Collaboration & Deployment: Work closely with cross-functional teams (Software Engineers, Data Engineers, and Product Managers) to deploy AI models into scalable cloud production environments.Required QualificationsExperience: 3+ years of professional experience in Data Science, Machine Learning, or Artificial Intelligence, with a strong focus on NLP and generative AI.Programming: Advanced proficiency in Python scripting and modern ML librariesEducation: BS in Technical Domain
Job Posted by ApplicantPro